Application of Intelligent Greenhouse and Plant Factory Systems in Agricultural Production

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 1194

Special Issue Editor


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Guest Editor
College of Horticulture, Sichuan Agricultural University, Chengdu 613000, China
Interests: design and intelligent control of plant production system; greenhouse; controlled environment; energy saving; aerodynamics; vertical farming

Special Issue Information

Dear Colleagues,

Due to the effects of uncertain climate factors in crop growth, advanced technologies have come to play an increasingly significant role in agricultural production. An intelligent greenhouse and plant factory system, in combination with the greenhouse and plant factory, intelligent equipment such as sensors, and the Internet of Things, successfully optimizes the crop growth environment. Through precise monitoring of crop growth conditions such as temperature, moisture, sunlight, etc., agricultural workers can adjust the indoor artificial lights and control the irrigation frequency to improve crop photosynthesis and water use efficiency, improving the yield and quality of fruits and vegetables. Compared with traditional greenhouses, intelligent, automated, and scientific greenhouses and plant factories have become indispensable parts of modern agriculture. However, intelligent greenhouse and plant factory systems are inevitably characterized by high costs and difficult operations, preventing many farmers from taking advantage of the convenience they offer.

This Special Issue will collect a range of articles and reviews associated with the greenhouse and plant factory environmental control system and smart farming. Potential topics include (but are not limited to):

  • Greenhouse and plant factory environment simulation;
  • Temperature and heat control;
  • Sunlight control and artificial light applications;
  • Water use monitoring and irrigation management;
  • Crop nutrient monitoring and sustainable fertilization;
  • The design and operation of smart greenhouse and plant factory systems;
  • The economic and biological benefits of intelligent greenhouse and plant factory production.

We look forward to receiving your contributions.

Dr. Wei Lu
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • greenhouse
  • plant factory
  • controlled environment
  • precision agriculture
  • artificial light
  • environment simulation

Published Papers (1 paper)

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Research

21 pages, 22046 KiB  
Article
An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation
by Hoang Hai Nguyen, Dae-Yun Shin, Woo-Sung Jung, Tae-Yeol Kim and Dae-Hyun Lee
Agriculture 2024, 14(3), 489; https://doi.org/10.3390/agriculture14030489 - 18 Mar 2024
Viewed by 948
Abstract
Industrial greenhouse mushroom cultivation is currently promising, due to the nutritious and commercial mushroom benefits and its convenience in adapting smart agriculture technologies. Traditional Device-Cloud protocol in smart agriculture wastes network resources when big data from Internet of Things (IoT) devices are directly [...] Read more.
Industrial greenhouse mushroom cultivation is currently promising, due to the nutritious and commercial mushroom benefits and its convenience in adapting smart agriculture technologies. Traditional Device-Cloud protocol in smart agriculture wastes network resources when big data from Internet of Things (IoT) devices are directly transmitted to the cloud server without processing, delaying network connection and increasing costs. Edge computing has emerged to bridge these gaps by shifting partial data storage and computation capability from the cloud server to edge devices. However, selecting which tasks can be applied in edge computing depends on user-specific demands, suggesting the necessity to design a suitable Smart Agriculture Information System (SAIS) architecture for single-crop requirements. This study aims to design and implement a cost-saving multilayered SAIS architecture customized for smart greenhouse mushroom cultivation toward leveraging edge computing. A three-layer SAIS adopting the Device-Edge-Cloud protocol, which enables the integration of key environmental parameter data collected from the IoT sensor and RGB images collected from the camera, was tested in this research. Implementation of this designed SAIS architecture with typical examples of mushroom cultivation indicated that low-cost data pre-processing procedures including small-data storage, temporal resampling-based data reduction, and lightweight artificial intelligence (AI)-based data quality control (for anomalous environmental conditions detection) together with real-time AI model deployment (for mushroom detection) are compatible with edge computing. Integrating the Edge Layer as the center of the traditional protocol can significantly save network resources and operational costs by reducing unnecessary data sent from the device to the cloud, while keeping sufficient information. Full article
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